{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "!pip install -Uqq nixtla"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "from nixtla.utils import in_colab"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide \n",
    "IN_COLAB = in_colab()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    from nixtla.utils import colab_badge\n",
    "    from dotenv import load_dotenv"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Quickstart\n",
    "\n",
    "To forecast with TimeGPT, call the `forecast` method. Pass your DataFrame and specify your target and time column names. Then plot the predictions using the `plot` method. You can read about data requierments [here](https://docs.nixtla.io/docs/getting-started-data_requirements). \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/markdown": [
       "[![](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Nixtla/nixtla/blob/main/nbs/docs/capabilities/forecast/01_quickstart.ipynb)"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#| echo: false\n",
    "if not IN_COLAB:\n",
    "    load_dotenv()\n",
    "    colab_badge('docs/capabilities/forecast/01_quickstart')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from nixtla import NixtlaClient"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "nixtla_client = NixtlaClient(\n",
    "    # defaults to os.environ.get(\"NIXTLA_API_KEY\")\n",
    "    api_key = 'my_api_key_provided_by_nixtla'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> 👍 Use an Azure AI endpoint\n",
    "> \n",
    "> To use an Azure AI endpoint, set the `base_url` argument:\n",
    "> \n",
    "> `nixtla_client = NixtlaClient(base_url=\"you azure ai endpoint\", api_key=\"your api_key\")`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#| hide\n",
    "if not IN_COLAB:\n",
    "    nixtla_client = NixtlaClient()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:nixtla.nixtla_client:Validating inputs...\n",
      "INFO:nixtla.nixtla_client:Preprocessing dataframes...\n",
      "INFO:nixtla.nixtla_client:Inferred freq: MS\n",
      "INFO:nixtla.nixtla_client:Restricting input...\n",
      "INFO:nixtla.nixtla_client:Calling Forecast Endpoint...\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x350 with 1 Axes>"
      ]
     },
     "execution_count": null,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Read the data\n",
    "df = pd.read_csv(\"https://raw.githubusercontent.com/Nixtla/transfer-learning-time-series/main/datasets/air_passengers.csv\")\n",
    "\n",
    "# Forecast\n",
    "forecast_df = nixtla_client.forecast(\n",
    "    df=df,\n",
    "    h=12,\n",
    "    time_col='timestamp',\n",
    "    target_col=\"value\"\n",
    ")\n",
    "\n",
    "# Plot predictions\n",
    "nixtla_client.plot(\n",
    "    df=df, \n",
    "    forecasts_df=forecast_df, \n",
    "    time_col='timestamp', \n",
    "    target_col='value'\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> 📘 Available models in Azure AI\n",
    ">\n",
    "> If you use an Azure AI endpoint, set `model=\"azureai\"`\n",
    ">\n",
    "> `nixtla_client.detect_anomalies(..., model=\"azureai\")`\n",
    ">\n",
    "> For the public API, two models are supported: `timegpt-1` and `timegpt-1-long-horizon`.\n",
    "> \n",
    "> By default, `timegpt-1` is used. See [this tutorial](https://docs.nixtla.io/docs/tutorials-long_horizon_forecasting) for details on using `timegpt-1-long-horizon`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "python3",
   "language": "python",
   "name": "python3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
